February 2014 Summaries

The Neo4j community is highly active and supportive, with many users applying graphs in diverse contexts. The community's success is largely due to the contributions of its members, who help each other by sharing advice, solving problems, and answering questions. To get involved, individuals can follow @neoquestions on StackOverflow or blog about their experiences with Neo4j. However, it's essential to understand that community support has limitations, including no guarantees or promises of timely responses, and that not all questions can be answered in one-to-one conversations. Users should prioritize providing detailed information, such as version details and code snippets, to facilitate effective analysis and suggestions from the community. The Neo4j team encourages users to help them by submitting well-prepared questions, ensuring a mutually beneficial experience for both parties.

The Neo4j team hosted a challenge where participants were asked to create graph models using the Neo4j database. The submissions showcased various domains, including Education, Finance, Life Science, Manufacturing, Sports, Retail, Telecommunication, and Transport. The Advanced Graph Gists category featured impressive submissions that demonstrated innovative use of graph structures and tools. The winners received prizes, including Amazon gift certificates, and were recognized for their creative and insightful graph models. The Neo4j team provided valuable feedback to the participants through comment sections, encouraging them to improve their work. The challenge aimed to promote the use of graph databases and provide a platform for developers to showcase their skills.

Neo4j was showcased at various events during DeveloperWeek 2014, including a meetup and a GraphPUB SF conference where it was used to graph out connections between passengers and estimate optimal seat plans. Neo Technology CEO Emil Eifrem presented on addressing the big data challenge with graphs, while Developer Evangelist Kenny Bastani introduced building killer apps using a graph database. Over 100 people attended the GraphPUB SF event, which featured lightning talks from local graphistas discussing various graph modeling domains. The conference highlighted the potential of graph databases to tackle big data problems and emphasized the importance of combining different solutions for optimal results.

The Neo4j team has released the first milestone of their upcoming version 2.1, which focuses on productivity and performance improvements. The new release introduces support for CSV import directly in Cypher query language, making it easier to load large amounts of existing data into Neo4j. This feature allows users to treat every line as a collection, treating each line faster. Additionally, the team has improved navigation for densely connected nodes by changing the way relationships are stored in Neo4j, allowing queries to be much faster for common cases. The new store format supports partitioning relationships incident on a node by type and direction, enabling users to take advantage of this feature without modifying their code. However, milestone releases are not recommended for production use and may have incomplete features.

Neo4j version 2.0.1 has been released, offering significant stability and performance improvements over the previous version, including enhancements to update propagation in high-availability clusters, improved uniqueness constraints creation, and fixes for Cypher index lookup issues. This is a maintenance release with no new features, and all Neo4j users are strongly recommended to upgrade to take advantage of these improvements.